Placide Rukundo

713 total citations · 1 hit paper
35 papers, 423 citations indexed

About

Placide Rukundo is a scholar working on Plant Science, Food Science and Genetics. According to data from OpenAlex, Placide Rukundo has authored 35 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Plant Science, 9 papers in Food Science and 7 papers in Genetics. Recurrent topics in Placide Rukundo's work include Genetics and Plant Breeding (9 papers), Advances in Cucurbitaceae Research (7 papers) and Potato Plant Research (6 papers). Placide Rukundo is often cited by papers focused on Genetics and Plant Breeding (9 papers), Advances in Cucurbitaceae Research (7 papers) and Potato Plant Research (6 papers). Placide Rukundo collaborates with scholars based in Rwanda, Kenya and South Africa. Placide Rukundo's co-authors include Mark Laing, Hussein Shimelis, Daphrose Gahakwa, Damien Hanyurwimfura, Leonce Dusengemungu, J. W. Kimenju, Dora Kilalo, Douglas W. Miano, Shimelis Hussein and Jacob Mashilo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Plant Science and Crop Science.

In The Last Decade

Placide Rukundo

29 papers receiving 406 citations

Hit Papers

Crop Yield Prediction Using Machine Learning Models: Case... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Placide Rukundo Rwanda 11 334 79 47 41 36 35 423
Bunmi Olasanmi Nigeria 11 451 1.4× 96 1.2× 15 0.3× 34 0.8× 56 1.6× 39 528
M. Booyse South Africa 10 221 0.7× 92 1.2× 16 0.3× 20 0.5× 60 1.7× 52 293
Rodrigo Silva Alves Brazil 14 397 1.2× 35 0.4× 32 0.7× 185 4.5× 29 0.8× 63 506
Vikas Khandelwal India 8 241 0.7× 67 0.8× 13 0.3× 61 1.5× 54 1.5× 43 335
Alieu Sartie New Zealand 10 213 0.6× 147 1.9× 8 0.2× 67 1.6× 90 2.5× 19 371
Don LaBonte United States 13 373 1.1× 83 1.1× 30 0.6× 25 0.6× 89 2.5× 25 474
Felipe Lopes da Silva Brazil 14 437 1.3× 39 0.5× 30 0.6× 93 2.3× 19 0.5× 53 504
Roger Malapa Vanuatu 14 274 0.8× 212 2.7× 25 0.5× 61 1.5× 98 2.7× 22 535
J. T. de Farias Neto Brazil 12 334 1.0× 34 0.4× 9 0.2× 35 0.9× 31 0.9× 57 410
Stephen Mwangi Githiri Kenya 13 367 1.1× 23 0.3× 27 0.6× 48 1.2× 87 2.4× 24 436

Countries citing papers authored by Placide Rukundo

Since Specialization
Citations

This map shows the geographic impact of Placide Rukundo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Placide Rukundo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Placide Rukundo more than expected).

Fields of papers citing papers by Placide Rukundo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Placide Rukundo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Placide Rukundo. The network helps show where Placide Rukundo may publish in the future.

Co-authorship network of co-authors of Placide Rukundo

This figure shows the co-authorship network connecting the top 25 collaborators of Placide Rukundo. A scholar is included among the top collaborators of Placide Rukundo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Placide Rukundo. Placide Rukundo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sousa, Kauê de, R. Manners, Jacob van Etten, et al.. (2025). Integrating environmental, socio-economic, and biological data in a farmer-led potato trial for enhanced varietal assessment in Rwanda. Experimental Agriculture. 61. 1 indexed citations
2.
Tripathi, Jaindra Nath, et al.. (2025). Genetic Improvement of Banana for Resistance to Xanthomonas Wilt in East Africa. Food and Energy Security. 14(1). 1 indexed citations
4.
Shakir, Sara, James P. Legg, Placide Rukundo, et al.. (2024). Breeding strategies for mitigating cassava brown streak disease in Africa. Lirias (KU Leuven). 3(1). 0–0.
5.
Hanyurwimfura, Damien, et al.. (2024). SMART-CYPS: an intelligent internet of things and machine learning powered crop yield prediction system for food security. SHILAP Revista de lepidopterología. 4(1). 7 indexed citations
6.
Hanyurwimfura, Damien, et al.. (2023). Crop Yield Prediction Using Machine Learning Models: Case of Irish Potato and Maize. Agriculture. 13(1). 225–225. 108 indexed citations breakdown →
7.
Rukundo, Placide, et al.. (2023). Performance of tetraploid biofortified potato clones in Rwanda. Crop Science. 64(3). 1284–1293. 2 indexed citations
8.
Rukundo, Placide, et al.. (2021). Effect of vine and fruit pruning on yield attributes of two watermelon (Citrullus lanatus) cultivars. Advances in Horticultural Science. 35(3). 269–275. 3 indexed citations
9.
Rukundo, Placide, Hussein Shimelis, Mark Laing, & Jacob Mashilo. (2020). Genotype-by-environment interaction for dual-purpose traits in sweetpotato. Journal of Crop Improvement. 34(6). 800–823. 6 indexed citations
10.
Kilalo, Dora, et al.. (2020). Evaluation of hot pepper (Capsicum spp.) genotypes for resistance to viruses and aphids in Rwanda. SHILAP Revista de lepidopterología. 2 indexed citations
11.
Kilalo, Dora, et al.. (2020). Farmers' knowledge and perceptions of virus diseases affecting hot pepper and their management in Rwanda. SHILAP Revista de lepidopterología. 1–1. 3 indexed citations
12.
Shimelis, Hussein, et al.. (2019). Gene action and heritability of yield components of dual-purpose sweetpotato clones. Euphytica. 215(7). 8 indexed citations
13.
Alajo, Agnes, Placide Rukundo, Paul Gibson, et al.. (2019). Adaptability of a U.S. purple-fleshed sweetpotato breeding population in Uganda. Australian Journal of Crop Science. 13(1). 17–25. 5 indexed citations
14.
Rukundo, Placide, et al.. (2019). Yield and yield components of CIP advanced potato clones under Rwandan agro-ecologies. Journal of Applied Biosciences. 136(1). 13909–13909. 4 indexed citations
15.
Rukundo, Placide, et al.. (2017). Evaluation of Performance of Introduced Yam Bean (Pachyrhizus spp.) in Three Agro-Ecological Zones of Rwanda. Tropical Plant Biology. 10(2-3). 97–109. 6 indexed citations
16.
Rukundo, Placide, Hussein Shimelis, Mark Laing, & Daphrose Gahakwa. (2017). Combining Ability, Maternal Effects, and Heritability of Drought Tolerance, Yield and Yield Components in Sweetpotato. Frontiers in Plant Science. 7. 1981–1981. 47 indexed citations
17.
Rukundo, Placide, Hussein Shimelis, Mark Laing, & Daphrose Gahakwa. (2016). Application of principal component analysis to yield and yield related traits to identify sweet potato breeding parents 01. Tropical Agriculture. 92(1). 23 indexed citations
18.
Rukundo, Placide, Hussein Shimelis, Mark Laing, & Daphrose Gahakwa. (2016). Greenhouse and in vitro screening of sweetpotato genotypes for drought tolerance. Research on Crops. 17(3). 568–568.
19.
Edema, Richard, et al.. (2015). Combining ability for resistance to rice yellow mottle virus disease in interspecific and intraspecific rice Genotypes. 2 indexed citations
20.
Rukundo, Placide, Hussein Shimelis, Mark Laing, & Daphrose Gahakwa. (2013). Storage root formation, dry matter synthesis, accumulation and genetics in sweetpotato. Australian Journal of Crop Science. 7(13). 2054–2061. 43 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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